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김희철 한국정신병리-진단분류학회 2022 精神病理學 Vol.26 No.2
The study of consciousness is a long-standing central challenge in the relationshipbetween the brain and the mind. One key step towards understanding consciousness is to empirically narrow down neural processes associated with the subjective experience of a particular content (neural reductionism). The fundamental methodological problem in consciousness research is the subjectivity of the target phenomenon the fact that conscious experience is always tied to an individual, first-person perspective. The core empirical question is whether and how physical states of the human nervous system can be mapped onto the content of conscious experience. The search for the neural correlates of consciousness (NCC) has become a highly active field of investigation in recent years. In functional imaging studies, several regions have been proposed to constitute possible candidates for NCC. Extended reticular-thalamic activation system, 40-hertz rhythmic activity in thalamocortical systems, and neurons in the visual cortex projecting to prefrontal areas are possible candidates for NCC. Recent advances in neuroimaging methods are now allowing scientists to obtain new information about NCC. The brain can be understood as a complex system or network, in which consciousness emerges from the interaction between multiple physical and functional levels. This emergent property of consciousness is the challenge that must be addressed in modern science. This review briefly introduced various academic perspectives on the problem of human consciousness, which have been studied by many philosophers and brain scientistsup to now and reviewed the results of recent studies on consciousness from a neuroscientific perspective.
김희철 한국전자통신학회 2019 한국전자통신학회 논문지 Vol.14 No.2
본 연구는 데이터의 실시간 수집/분석/처리를 위한 빅데이터 기반, 데이터 자산의 창의적 분석과 유통단계를 실시간으로 측정할 수 있는 IoT 기반 지능형 처리시스템을 개발한다. 모바일 단말은 제공된 디바이스의 SDK를 이용하여 특정지역 해산물 생산유통소비에 대한 데이터 정보를 측정한다. 측정된 정보를 oneM2M 프로토콜을 이용하여 해산물 생산에 필요한 각종 정보를 저장하고 DB Server, 관리자가 UI를 이용하여 시스템을 관리할 수 있는 체계를 구현한다. A Study is Big data base for real-time collection/analysis/processing of data, creative analysis of data assets, and intelligent processing system based on IoT, which can measure distribution phase in real time. The mobile terminal uses the SDK of the provided device to measure the data information on the consumption of specific seafood production and distribution. We use the oneM2M protocol to store various kinds of information needed for seafood production, and implement a DB Server and a system that allows the administrator to manage the system using the UI.
김희철 대한기계학회 1976 大韓機械學會誌 Vol.16 No.1
현재 우리 나라가 당면하고 있는 과학기술의 목표는 한정된 자연자원의 제약하에서 외국모방을 탈피한 과학기술의 혁신을 통하여 본격적인 공업화의 길을 개척하고, 국제상품시장에서 경 쟁에 이길 수 있는 수출산업구조를 고도화할 수 있도록 국산제품 및 국내기술의 향상여건을 조성하며, 그 종합적 방안을 제시하는데 있겠다.
김희철,김민철,Shuai Su 제주대학교 관광과경영경제연구소 2018 産經論集 Vol.38 No.2
Purpose - The idea of the book 'Stephen Covey’'s The 7 Habits of highly effective people (1991)' can be a guideline for developing the individual quality in service organization. Specifically, the 'Covey 7 habit' book is a sort of bestseller all over the world and this book has become one of the best-seller books of all time (Cullen, 2009). However, it is somewhat lacking in how the Covey's 7 habits can be effectively applied in real life from a personal point of view. Accordingly, the aim of this study is to adopt the quality techniques related to Covey's 7 habits as a focus on individual quality for service improvement. To get the objectives, this study includes a summary of the book, an analysis and application of quality techniques in individual aspect. Research, design, data and methodology - To get the objectives, this study included a summary of the book, an analysis and application of quality techniques in individual aspect. Specifically, this study describes a summary on Covey's 7 habits for the analysis of next section. Habits come from the acquired characters rather than the heredity (Hulse, 1981). Based on this concept, the habit 1~3 in the Covey's 7 habits are treating the completion of own individual in order to attain individual success. The habit 4~6 are treating the relationship for the success of human relations teamwork, cooperation, communication. The habit 7 is about the integrated content including habit 1~6. Results - Thus, this study proposed summarization table on an analysis and application of quality techniques. The analysis results of this study can help identify effectively designed habits for better adoption in real life. Moreover, according to Covey (2013), the 8th habit in addition to Covey's 7 habits was presented as the concept of ‘Learn, think, do, share.’If the added habit has been considered in terms of quality, it can be applied to the cycle of plan, do, check & act (PDCA) on quality concept. The PDCA Cycle as an approach to change and problem solving. Conclusions - Conclusively, this study implied the potential application to individual life with meaningful Covey's 7 habits.
절단고정시간에 근거한 파레토 NHPP 소프트웨어 신뢰성장모형에 관한 비교 연구
김희철,신현철 한국사이버테러정보전학회 2012 융합보안 논문지 Vol.12 No.1
소프트웨어 시스템의 대규모자료의 적용 때문에 소프트웨어 신뢰도는 소프트웨어 개발에 중요한 역할을 해왔다. 본 연구에서는 고장시간에 관련된 소프트웨어 신뢰성장모형이 제안되었다. 이러한 검사시간은 미리 정해진 절단 고정 시간을 의미한다. 본 연구에서는 소프트웨어의 강도함수, 평균값 함수 및 신뢰도와 모수추정에 대하여 나열하고 파레토 분포를 수명분포로 적용한 비동질적인 포아송 과정을 적용하였다. 본 논문의 수치적인 예에서는 고장 간격 시간 자료를 적용하고 모수추정 방법은 최우 추정 법을 이용하고 추세분석을 통하여 자료의 효율성을 입증한 후 평균자승오차와 Rsq(결정계수)를 이용하고 예측 값과 실제 값의 차이에 의존한 효율적인 모형을 선택 비교하였다.
다항 위험함수에 근거한 NHPP 소프트웨어 신뢰성장모형에 관한 연구
김희철 (사)디지털산업정보학회 2011 디지털산업정보학회논문지 Vol.7 No.4
Infinite failure NHPP models presented in the literature exhibit either constant, monotonic increasing or monotonic decreasing failure occurrence rate per fault (hazard function). This infinite non-homogeneous Poisson process is model which reflects the possibility of introducing new faults when correcting or modifying the software. In this paper, polynomial hazard function have been proposed, which can efficiency application for software reliability. Algorithm for estimating the parameters used to maximum likelihood estimator and bisection method. Model selection based on mean square error and the coefficient of determination for the sake of efficient model were employed. In numerical example, log power time model of the existing model in this area and the polynomial hazard function model were compared using failure interval time. Because polynomial hazard function model is more efficient in terms of reliability, polynomial hazard function model as an alternative to the existing model also were able to confirm that can use in this area.